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Learn About Statistical Analysis For Marketing Research

We've grouped together all the information our site contains on Statistical Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 51 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data Use: A good choice for choice modeling
Maximum difference scaling lets researchers present respondents with large numbers of choice options without making the process onerous. The article uses examples of a hotel loyalty program and restaurant menu optimization to show the technique in action.
Analytical software extends its reach
The goal of this article is to clarify information on data mining and related topics (including “data warehousing” and “knowledge discovery”). Also discussed are software products (SPSS 10.0, DBMS/COPY 7.0, and SYSTAT Version 9.0) that can help with data mining.
Data Use: Mapping the future
This article describes the use of correspondence analysis to predict the impact of various marketing strategies on their brand's competitive position. In contrast to other types of perceptual mapping, correspondence analysis summarizes nominal data rather than metric data.
Data Use: A look at item non-response
Because respondents do not always provide complete data in their questionnaires, data tabulation and statistical analysis can be tricky. This article addresses item non-response, including tabulation and summary statistics, providing a simple example.
By the Numbers: The numbers behind the number
When clients fixate on a single score or measure as an indication of viability, or lack thereof, researchers must step in and help them see the bigger picture.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Analyzing a pharmaceutical product’s key drivers
The author explores the use of principal component analysis to examine wave-to-wave changes in a tracking study.
By the Numbers: The top five mistakes in marketing statistics
From asking too many questions to falling for the latest technique, here is a statistician’s take on marketers’ common statistics-related mistakes.
Modeling the drivers of Net Promoter Score
How driver analysis can help you determine which controllable factors have an effect on NPS and how much of an impact they have.
Data Use: Toward a more optimized kind of revenue optimization
The author reviews traditional applications of revenue optimization and offers an improved method that uses a multivariate approach.
Helping wrangle big data: Monte Carlo for marketing research
This article walks readers through an example of a Monte Carlo simulation and details how this methodology is useful for marketing researchers looking to manage big data and compete with predictive analytics.

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